View in EDS

Machine Learning to Predict Interim Response in Pediatric Classical Hodgkin Lymphoma Using Affordable Blood Tests.

Saved in:
Bibliographic Details
Title: Machine Learning to Predict Interim Response in Pediatric Classical Hodgkin Lymphoma Using Affordable Blood Tests.
Authors: Geel, Jennifer A.1 (AUTHOR), Hramyka, Artsiom2 (AUTHOR), du Plessis, Jan3,4 (AUTHOR), Goga, Yasmin5,6 (AUTHOR), Van Zyl, Anel7 (AUTHOR), Hendricks, Marc G.8,9 (AUTHOR), Naidoo, Thanushree10 (AUTHOR), Mathew, Rema11,12 (AUTHOR), Louw, Lizette13 (AUTHOR), Carr, Amy5,6 (AUTHOR), Neethling, Beverley5,14 (AUTHOR), Schickerling, Tanya M.15 (AUTHOR), Omar, Fareed16 (AUTHOR), Du Plessis, Liezl17 (AUTHOR), Madzhia, Elelwani18,19 (AUTHOR), Netshituni, Vhutshilo20,21 (AUTHOR), Eyal, Katherine9,22 (AUTHOR), Ngcana, Thandeka V.Z.23 (AUTHOR), Kelsey, Tom2 (AUTHOR) twk@st-andrews.ac.uk, Ballott, Daynia E.24 (AUTHOR)
Source: JCO Global Oncology. 12/1/2024, Vol. 10, p1-10. 10p.
Database: Academic Search Ultimate
Description
ISSN:26878941
DOI:10.1200/GO.23.00435